Case Study: CodeRabbit cuts web-search calls by 70-75% with Exa Search

CodeRabbit cuts web-search calls by 70-75% with Exa

coderabbit, an AI code review platform, needed to verify review comments against fast-moving external context like library behavior, API changes, and technical documentation. Their previous AI search provider required multiple slow search calls, taking 30-45 seconds for complex verifications, which hindered their process.

By integrating Exa Search, coderabbit replaced these multiple calls with a single, efficient API call. Exa provided high-quality, synthesized results in a fraction of the time, with a P95 latency of 11.1 seconds. This switch resulted in a 70-75% reduction in web-search call volume while maintaining review quality, allowing coderabbit to deliver verified, context-rich feedback faster.

CodeRabbit